K. Liang

Statistics and Probability · with Chen · 1986–2010

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom K. Liang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Donald B. Rubin
  2. Eric R. Ziegel

Who trusts K. Liang overall

  1. Geert Molenberghs
  2. Xihong Lin
  3. Annie Qu
  4. Gareth M. James
  5. Riitta Katila
  6. Cristiano Varin
  7. Christian Hansen
  8. Raymond J. Carroll
  9. Daniel M. McNeish
  10. Glenn W. Harrison

Papers from K. Liang's perspective

Ordered by how strongly the researchers K. Liang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. INFERENCE AND MISSING DATA
  2. Generalized Linear Models
  3. [On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies
  4. Statistics and Causal Inference
  5. Bounds on Treatment Effects from Studies with Imperfect Compliance
  6. Surrogate endpoints in clinical trials: definition and operational criteria.
  7. The central role of the propensity score in observational studies for causal effects
  8. Observational Studies
  9. Marginal Structural Models versus Structural nested Models as Tools for Causal inference
  10. Principal Stratification in Causal Inference

Their papers